Data Analyst Marketing

Xiaowen Yang

New York, NY 206-***-**** ********@**.*** linkedin.com/in/xiaowenyang618/

SKILLS AND CREDENTIALS

• Programming: Python, R, C++, SQL, VBA, Java, Matlab

• Credentials: Bloomberg Market Concepts

EDUCATION

Boston University, Questrom School of Business Boston, MA M.S. Mathematical Finance (Risk Management Track) 08/2017 – 01/2019

• Coursework: Statistics; Programming (Python, C Stochastic Methods of Asset Pricing; Fixed Income; Credit Risk; Corporate Risk Management; Advanced Computational Methods; Accounting Risk Management University of Washington Seattle, WA

B.S. Mathematics (Minor in Applied Mathematics) 08/2013 – 06/2017

• Coursework: Differential Equations, Matrix Algebra, Programming, Probability & Statistics, Data Analysis

• Lead Organizer, Financial Engineering Club: Organized a financial risk analysis case competition on 2008 failure of Merrill Lynch

EXPERIENCE

Agricultural Bank of China Shanghai, China

Consumer Credit Analyst, Credit Card and Electronic Products Division Department 05/2018 – 08/2018

• Reconciled and analyzed personal and group credit card transaction data in Python, and built a credit installment marketing referral model and obtained a ranking for reference, resulting in a 50% improvement in marketing success rate

• Reached out prospective clients to market credit installment products and resulted in a 30% marketing profit

• Assisted team with car purchase and home decoration installments and communicated with clients Industrial Commercial Bank of China Beijing, China Quantitative Risk Analyst Intern 06/2016 – 08/2016

• Worked in the research team to construct statistical models to determine the loan amount for enterprises

• Implemented logistic regression to find default probability based on company’s financial situation

• Calculated optimized amount according to loan lending rules to achieve the efficiency of the tasks Zhongjiang International Commodity Exchange Beijing, China Marketing and Product Analyst Intern 06/2015 – 08/2015

• Performed quantitative analysis on profit and loss for precious metal and crude oil exchange market

• Conducted market research on option exchange platform to negotiate contracts with membership companies PROJECTS

Boston University Boston, MA

Machine Learning Project for Stock Prediction 09/2018 – 12/2018

• Systemized and cleaned data over 87 technical and fundamental factors affecting stock performance

• Employed cross-validation, fit Extreme Gradient Boosting model using R to forecast monthly stock return, calculated prediction mean squared error and ranked 1st among 14 groups

• Performed Variance Inflation Factor to select non-correlated factors, applied Random Forest to predict whether a stock will grow or fall within a given time frame and resulted in a 65% of accuracy Nonparametric Risk Neutral Density 02/2018 – 05/2018

• Researched on two methods approach to the nonparametric estimation technique calculating risk neutral density and compared their compatibility with parametric models University of Washington Seattle, WA

Data Analyst Project for Career Searching 01/2016 – 03/2016

• Created multiple diagrams in Python to analyze the location bias and posting amount for major jobs, visualized the results to analyze the job trend and implemented Times Series to predict the job distribution for next quarter ADDITIONAL INFORMATION

Languages: English, Mandarin

Interests: singing, mathematics, community involvement, travel

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